Optimal Design and Operation of Integrated Microgrids under Intermittent Renewable Energy Sources Coupled with Green Hydrogen and Demand Scenarios

Investigation of energy systems integrated with green chemical conversion, and in particular combi-nation of green hydrogen and synthetic methanation, is still a scarce subject in the literature in terms of optimal design and operation for energy grids under weather intermittency and demand uncertain-ty. In this work, a multi-period mixed-integer linear programming (MILP) model is formulated to identify the optimal design and operation of integrated energy grids including such chemical conver-sion systems. Under current carbon dioxide limitations, this model computes the best configuration of the renewable and non-renewable-based generators, from a large candidate pool containing thirty-nine different equipment, their optimal rated powers, capacities and scheduling sequences. Three different scenarios are generated for a specific location. We observed that photovoltaic, oil co-generator, reciprocating ICE, micro turbine, and bio-gasifier are the equipment that is commonly chosen under the three different scenarios. Results also show that concepts such as green hydrogen and power-to-gas are currently not preferable for the investigated location.